Open AccessOne‐sample optimal output smoothing method for wind farm with energy storage system
Author(s) -
Koiwa Kenta,
Ishii Tomoya,
Liu KangZhi,
Zanma Tadanao,
Tamura Junji
Publication year - 2021
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/rpg2.12052
Subject(s) - particle swarm optimization , smoothing , wind power , energy storage , computation , computer science , mathematical optimization , state of charge , control theory (sociology) , energy (signal processing) , power (physics) , engineering , algorithm , electrical engineering , mathematics , battery (electricity) , statistics , physics , control (management) , quantum mechanics , artificial intelligence , computer vision
This paper proposes a novel optimization method for energy storage systems (ESSs) to smooth wind farm output to satisfy the technical requirements and reduce the rated power (rated energy capacity) and charge/discharge loss of the ESS. The state of charge of the ESS operated by the proposed method can be regulated, guaranteeing some constraints. The proposed method has a very simple structure, does not require the wind farm output forecast and numerical optimization, such as particle swarm optimization. Therefore, a high‐grade functional computation device is not needed. The effectiveness of the proposed method is verified by comparative analysis with conventional approaches through simulations.